code: def multinomial_model_distribution(Model, custom_distribution_func):
      (ftrain, fvalid, ftest) = dataset_iris()
      model = Model(
          model_id="multinomial_custom",
          ntrees=3,
          max_depth=5,
          score_each_iteration=True,
          distribution="custom",
          custom_distribution_func=custom_distribution_func,
      )
      model.train(
          y="class",
          x=ftrain.names,
          training_frame=ftrain,
          validation_frame=fvalid,
      )
      return model, ftest
  
file_path: h2o-3/h2o-py/tests/pyunit_utils/utils_model_custom_distribution.py
imports: import h2o
  from .None import locate
label_desc: Use image node_id 9 for calling a global function with example usage: multinomial_model_distribution(Model, custom_distribution_func) and returns: model,  ftest